Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yukyung Yang"'
Publikováno v:
Journal of Promotion Management. 29:607-643
Publikováno v:
ICTC
The performance of EO/IR systems is influenced on the testing circumstance. After studying theoretically the performance variations by environmental conditions, we estimate the practical performances of the systems. But the results of test in the fie
Publikováno v:
Journal of the Korea Institute of Military Science and Technology. 14:700-709
In this paper, we propose a novel method which can detect ordnance firing events in IR images. The proposed algorithm is comprised of effective target detection and robust clutter rejection methods based on the temporalspatial cooperative filter. And
Publikováno v:
Journal of Infrared, Millimeter, and Terahertz Waves. 30:994-1011
Robust detection of small targets is very important in IRST (Infrared Search and Track). This paper presents a novel mathematical method for the incoming target detection problem in cluttered background motivated from the robust properties of human v
Covariance-based band selection and its application to near-real-time hyperspectral target detection
Publikováno v:
Optical Engineering. 56:053101
The matched filter (MF) and adaptive coherence estimator (ACE) show great effectiveness in hyperspectral target detection applications. Practical applications in which on-board processing is generally required demand real-time or near-real-time imple
Publikováno v:
CASE
It is important to stably extract horizon lines for sea-based infrared search and track. Most of the existing solutions for the problems only use single image to detect horizon line. Although this results in good accuracy for some images, it often fa
Publikováno v:
ICASSP
Detecting small targets is essential for mitigating the sea-based Infrared search and track (IRST) problem. It is easy to detect small targets in homogeneous backgrounds such as the sky. When targets are on the border line of heterogeneous background
Publikováno v:
2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves.
A cooperative spatial filtering method is presented to detect small targets around horizontal region for infrared search and track (IRST). Double window filter (DWF) can enhance signal-to-noise ratio then directional background removal filter (DBRF)
Publikováno v:
2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves.
A clutter reduction method using track classification and clutter map generation for the real-time target detection and tracking system is presented. Track classification identifies background clutter tracks and this information is used to reduce fal
Publikováno v:
SPIE Proceedings.
A mean shift algorithm has gained special attention in recent years due to its simplicity to enable real-time tracking. However, the traditional mean shift tracking algorithm can fail to track target under occlusions. In this paper we propose a novel